蒋梦婉，女，1988.10月生，博士，讲师。

电子邮箱：jiangmw@haut.edu.cn.

研究方向：深度学习、机器学习、生物信息.

教育经历：

2007.09-2011.07,江南大学,电子通信与工程专业,学士;

2011.09-2014.07,郑州大学，电路与系统,硕士;

2016.09-2020.08,郑州大学，生物信息学,博士;

代表性教科研学术成果：

论文：

1.Jiang Mengwan, Shi Luye, Li Xiujuan, et al. Genome-wide adaptive evolution to subterranean stresses in subterranean mammals: hypoxia adaption, immunity promotion, and sensory specialization. Ecology And Evolution, 2020, 10(14):7377-7388.

2.Jiang Mengwan, Li Haoliang. Vehicle classification based on hierarchical support vector machine (SVM）Lecture Notes in Electrical Engineering, 2014:593-600.

3.Shi Luye, Jiang Mengwan, Li Mengyang, et al. Regulation of HIF-1αand p53 in stress responses in the subterranean rodents Lasiopodomys mandarinus and Lasiopodomys brandtii (Rodentia: Cricetidae). Zoologia (Curitiba), 2021, 38:1-11.

4.Yan Wu; Mengwan Jiang; Gang Li, et al. Systematic Performance Analysis of Hybrid FSO/RF System over Generalized Fading Channels with Pointing Errors. Photonics, 2022, 9(11): 873

项目：

1.蒋梦婉，基于多组学解析内生菌Q2合成紫杉醇的生物途径，河南省博士后科研资助，2022.06-2024.05